** Data Science Certification Training: https://www.edureka.co/data-science **
This Edureka's live session on "Introduction To Machine Learning" will help you understand the basics of Machine Learning and how it can be used to solve real-world problems. The following topics are covered in this session:

01:50 Need For Machine Learning
07:17 What is Machine Learning?
09:32 Machine Learning Definitions
11:58 Machine Learning Process
18:42 Types Of Machine Learning
26:11 Type Of Problems Solved Using Machine Learning
29:32 Demo

Blog Series: http://bit.ly/data-science-blogs
Data Science Training Playlist: http://bit.ly/data-science-playlist

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#edureka #edurekaMachineLearning #machineLearning #machineLearningBasics #machineLearningForBeginners #machineLearningTraining #machineLearningCourse

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About the Course

Edureka's Data Science course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:

1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyze Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyze data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies.

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For online Data Science training, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

Here's the roadmap that I would follow to learn artificial intelligence (AI).
📚 Get the FREE roadmap here ➡️ https://bit.ly/data-alchemy

⏱️ Timestamps
00:00 Introduction
00:34 Why learn AI?
01:28 Code vs. Low/No-code approach
02:27 Misunderstandings about AI
03:27 Ask yourself this question
04:19 What makes this approach different
05:42 Step 1: Set up your environment
06:54 Step 2: Learn Python and key libraries
08:02 Step 3: Learn Git and GitHub Basics
08:35 Step 4: Work on projects and portfolio
13:12 Step 5: Specialize and share knowledge
14:31 Step 6: Continue to learn and upskill
15:39 Step 7: Monetize your skills
16:53: What is Data Alchemy?

🛠️ Explore ProjectPro
https://bit.ly/3q837w8

👋🏻 About Me
Hey there! I'm Dave, an AI Engineer and the founder of Datalumina, where our mission is to facilitate entrepreneurial and technological proficiency in professionals and businesses. Through my videos here on this channel, my posts on LinkedIn, and courses on Skool, I share practical strategies and tools to navigate the complexities of data, artificial intelligence, and entrepreneurship.

🎓 My Courses
https://www.skool.com/data-alchemy
https://www.skool.com/data-freelancer

✔️ How I manage my business and dev projects
https://clickup.pxf.io/k0EN9N

📊 How I'm using data to track my health
https://join.whoop.com/datalumina

🔗 Let's Connect
https://www.linkedin.com/in/daveebbelaar/
https://www.instagram.com/daveebbelaar/

📥 Datalumina's Newsletter
https://www.datalumina.com/newsletter

#ai #roadmap #datalumina

📌 Video Description
In this video, Dave shares a comprehensive and actionable roadmap for anyone looking to start their journey into the exciting world of artificial intelligence (AI) in 2024. Whether you're a complete beginner or someone looking to pivot your career towards AI, this video lays out a step-by-step guide that demystifies the process of learning AI from the ground up. Dave highlights the significance of AI in today's tech landscape and addresses common misconceptions that newcomers might have.

With a focus on practical learning, the video emphasizes the importance of choosing between a code-centric or a low/no-code approach, making AI accessible to a broader audience. Dave's unique approach involves asking a critical question that shapes the learning path, ensuring that viewers embark on a journey tailored to their goals and interests.

The roadmap detailed in the video covers essential steps such as setting up your learning environment, mastering Python and key libraries crucial for AI, understanding the basics of Git and GitHub, and the importance of working on projects to build a strong portfolio. Dave also talks about the importance of specialization and the continuous process of learning and upskilling in fields like generative AI, large language models, chatbots, and machine learning.

Furthermore, Dave shares insights on how to monetize your AI skills, turning your passion into a profession. The video concludes with an introduction to Data Alchemy, a concept that encapsulates the transformative power of AI knowledge.

For those eager to dive into the AI world, Dave offers a free roadmap accessible through the link provided in the video description. This invaluable resource serves as a compass for navigating the complexities of AI learning, making it an essential watch for anyone interested in artificial intelligence, machine learning, and related technologies.

Become better at machine learning in 5 min/ week 👉🏻 https://borismeinardus.substack.com/

In this video, I share how I would learn Machine Learning in 2024 if I could start over.
For the past 3 years, I have been studying machine learning (and 2 years before that basic computer science), which has now led me to work with an amazing ex-Meta professor, collaborate with Google DeepMind researchers, and have interviews at amazing companies.
Having learned from all of my failures and successes, this video breaks down how I would learn machine learning all over again, focusing on the essentials and learning from the best resources.
Enjoy!

👉🏻 Book a one-on-one call
https://calendly.com/boris-meinardus/consulting

👇🏻 Links to resources 👇🏻
==== Maths ====
https://www.edx.org/learn/prob....ability/harvard-univ
https://www.edx.org/learn/line....ar-algebra/the-unive
https://www.coursera.org/learn/matrix-algebra-engineers?irclickid=x-U2gpTSJxyLTxPwUx0Mo3EoUkDXeNXFjUFXWo0&irgwc=1
==== ML/ DL ====
https://www.coursera.org/speci....alizations/machine-l
https://www.youtube.com/playli....st?list=PLAqhIrjkxbu
https://www.coursera.org/specializations/deep-learning?irclickid=x-U2gpTSJxyLTxPwUx0Mo3EoUkDXeu01jUFXWo0&irgwc=1#courses
https://huggingface.co/learn/nlp-course/chapter1/1

⬇️ Follow me on my other socials and feel free to DM questions! ⬇️
⚫⚪ Medium: https://medium.com/@boris.meinardus
🐦 Twitter: https://twitter.com/BorisMeinardus

================== Timestamps ================
00:00 - Intro
00:40 - Python
01:29 - Maths
02:47 - ML Developer Stack
04:00 - Learn Machine Learning
06:06 - How To Really Get Good
=============================================

#ai #learning #machinelearning

🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=HtHEDuhX8J8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=HtHEDuhX8J8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in Data Analytics - https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=HtHEDuhX8J8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - Data Analytics Bootcamp (US Only) - https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=HtHEDuhX8J8&utm_medium=DescriptionFirstFold&utm_source=Youtube

We will first begin with an Introduction to Big Data, setting the foundation for understanding large data sets. Next, we’ll dive into Introduction to Business Intelligence, followed by a focused Introduction to Power BI. Moving ahead, we’ll cover Top BI Terms Every Data Analyst Should Know, giving you a strong grasp of essential concepts. Then, we’ll explore Power BI Basics and learn How to Create a Power BI Dashboard, before advancing to Data Transformation Tutorial using Power Query. After that, we will practice How to Build a Daily Activity Tracker in Excel and understand How to Use Microsoft Power Query for seamless data handling. The course will further introduce SQL with an emphasis on SQL Common Table Expressions (CTE) and practical SQL Projects for Data Analysis. Lastly, we’ll explore the integration of Data Analytics Using AI tools like ChatGPT with Excel and finish by preparing for the field with Power BI Interview Questions.
here are the topics covered in this Power BI full course:

00:00:00 Introduction to Power BI Full course
00:04:02 Introduction to Big Data
00:09:14 Introduction to Power BI
00:15:09 Power BI Introduction
00:15:58 Top BI Terms every data analyst know
00:30:41 Introduction to Business Intelligence
00:44:38 How Create PowerBI Dashboard
00:52:56 Data Analyst Roadmap
06:36:08 Power BI Basics
06:51:14 How to build a Daily Activity Tracker in Excel
07:12:38 How to use microsoft power query
07:28:59 Data Transformation tutorial
07:44:36 Chatgpt and Excel with Data Analytics
07:47:53 Introduction to SQL
07:59:48 SQL CTE
07:59:58 DA using AI
09:25:40 SQL Project for data analysis
09:53:19 Power BI Interview Questions

✅ what is power bi
Microsoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence. It is part of the Microsoft Power Platform.

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#powerbi #powerbiforbeginners #powerbitips #powerbicourse #datanalytics #simplilearn #2024

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

👉 Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=HtHEDuhX8J8&utm_medium=Description&utm_source=youtube

🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=qkj5gqOSX0o&utm_medium=DescriptionFF&utm_source=youtube
🔥IIT Kanpur Professional Certificate Course In Data Analytics (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=qkj5gqOSX0o&utm_medium=DescriptionFF&utm_source=youtube
🔥Caltech Data Analytics Bootcamp(US Only): https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=qkj5gqOSX0o&utm_medium=DescriptionFF&utm_source=youtube
🔥Data Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=qkj5gqOSX0o&utm_medium=DescriptionFF&utm_source=youtube

This video by Simplilearn is based on SQL Tutorial For Beginners. This SQL Full Course 2024 by Simplilearn is designed and curated in collaboration with real-time industry experts with Data analytics knowledge and expertise. This SQL Tutorial for beginners will cover the basics of SQL from the code syntax to all the advanced concepts in SQL like, Sub Queries, Joins, and CTEs in SQL. After completing this course, you can become an expert in SQL Fundamentals or if you are a professional, you can brush up your SQL skills and for beginners, you can proceed with building your personal data analysis portfolio to begin with your training or internship for Real-time operations and job opportunities.

00:00:00 Introduction to SQL Full Course
00:01:08 What is DBMS
00:12:45 Database Vs Data Warehouse
00:31:24 Data Analyst Roadmap
00:33:28 Data Science Vs Data Analyst
00:47:08 What is SQL
03:13:33 SQL Tutorial For Beginners
03:14:22 Business Intelligence Terms For data analyst
03:30:13 Normalization in SQL
03:33:37 Descriptive Analysis Vs Stat
03:51:09 What is ETL
07:16:37 SQL FC
07:30:47 Joining Tables in SQL
07:53:01 Views in SQL
07:55:39 POstgreSQL
09:37:05 SQL CTE(Common Table Expressions
10:40:24 SQL Project for data analysis
11:29:25 EDA(Exploratory Data Analysis) with Python
11:29:35 Data Analytics using Artificial Intelligence
12:02:19 Data Cleaning in Data Mining
12:17:56 Chatgpt and Excel with Data Analytics
12:54:38 SQL Interview Questions and Answers

✅Subscribe to our Channel to learn more about the top Technologies:

⏩ Check out the SQL training videos: https://www.youtube.com/watch?v=pFq1pgli0OQ&list=PLEiEAq2VkUUKL3yPbn8yWnatjUg0P0I-Z

#sql #sqlcourse #sqlcourseforbeginners #sqlforbeginners #sqlfullcourse #sqlfunctions #sqlfundamentals #simplilearn #2024

What is SQL?
SQL stands from Structured Query Language. It is used to communicate with several relational databases such as MySQL, Oracle and MS SQL Server. Using SQL queries, you can fetch, update, delete and manipulate data that is stored in the form of rows and columns. SQL commands are divided into different types, such as data manipulation language (DML), data definition language (DDL), transaction control language (TCL), and data query language (DQL).

➡️ About Post Graduate Program In Data Analytics
Boost your career with this Data Analytics Course, in partnership with Purdue University & in collaboration with IBM, which features master classes and follows an applied learning model designed with real-life projects and business case studies.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

✅ Learning Path
- Induction Session for Purdue Data Analytics Program
- PG DA - Business Analytics with Excel
- PG DA - SQL
- PG DA - Programming foundation and Data Analytics with Python
- PG DA - R programming for Data Science
- PG DA - Data Analytics with R
- PG DA - Tableau Training
- PG DA - Data Analytics Capstone
Electives:
- PL-300 Microsoft Power BI Certification Training
- Academic Masterclass by Purdue University Online
- Industry Master Class – Data Analytics
- Generative AI Masterclass

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=qkj5gqOSX0o&utm_medium=Description&utm_source=youtube